Legend

56 posts
NYT hits the trifecta with this market correction chart

Yesterday, in the front page of the Business section, the New York Times published a pair of charts that perfectly captures the story of the ongoing turbulence in the stock market. Here is the first chart: Most market observers are very concerned about the S&P entering "correction" territory, which the industry arbitrarily defines as a drop of 10% or more from a peak. This corresponds to the shortest line on...

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The merry-go-round of investment bankers

Here is the start of my blog post about the chart I teased the other day:   Today's post deals with the following chart, which appeared recently at Business Insider (hat tip: my sister). It's immediately obvious that this chart requires a heroic effort to decipher. The question shown in the chart title "How many senior investment bankers left their firms?" is the easiest to answer, as the designer places the number...

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Big Macs in Switzerland are amazing, according to my friend

Note for those in or near Zurich: I'm giving a Keynote Speech tomorrow morning at the Swiss Statistics Meeting (link). Here is the abstract: The best and the worst of data visualization share something in common: these graphics provoke emotions. In this talk, I connect the emotional response of readers of data graphics to the design choices made by their creators. Using a plethora of examples, collected over a dozen...

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Two good charts can use better titles

NPR has this chart, which I like: It's a small multiples of bumps charts. Nice, clear labels. No unnecessary things like axis labels. Intuitive organization by Major Factor, Minor Factor, and Not a Factor. Above all, the data convey a strong, surprising, message - despite many high-profile gun violence incidents this year, some Democratic voters are actually much less likely to see guns as a "major factor" in deciding their...

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Hog wild about dot maps

Reader Chris P. sent me this chart. This was meant to be "light entertainment." See the Twitter discussion below. *** Let's think a bit about the dot map as a data graphic. Dot maps are one dimensional. The dot's location is used to indicate the latitude and longitude and therefore the x,y coordinates cannot encode any other data. If we have basically a black/white chart, as in this hog map,...

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A gem among the snowpack of Olympics data journalism

It's not often I come across a piece of data journalism that pleases me so much. Here it is, the "Happy 700" article by Washington Post is amazing.   When data journalism and dataviz are done right, the designers have made good decisions. Here are some of the key elements that make this article work: (1) Unique The topic is timely but timeliness heightens both the demand and supply of...

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Verging on trust

I’m not quite done with that Verge survey on social media popularity. Last time, I discussed one of the stacked bar charts about how much users like or dislike specific brands such as Facebook and Twitter. Today, I look at the very first chart in the article. This chart supposedly says users trust Amazon the most among those technology brands, just about the same level as customers trust their bank....

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Using a bardot chart for survey data

Aleks J. wasn't amused by the graphs included in Verge's report about user attitudes toward the major Web brands such as Google, Facebook, and Twitter. Let's use this one as an example: Survey respondents are asked to rate how much they like or dislike the products and services from each of six companies, on a five-point scale. There is a sixth category for "No opinion/Don't use." In making this set...

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Details, details, details: giving Zillow a pie treatment

This chart (shown right), published by Zillow in a report on housing in 2012, looks quite standard, apparently avoiding the worst of Excel defaults. In real estate, it’s all about location. In dataviz, it’s all about details. What are some details that I caught my eye on this chart? Readers have to get over the hurdle that “negative equity” is the same as “underwater homes.” This is not readily understood...

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Visualizing electoral college politics: exercise in displaying relationships between variables

Reader Berry B. sent in a tip quite some months ago that I just pulled out of my inbox. He really liked the Washington Post's visualization of the electoral college in the Presidential election. (link) One of the strengths of this project is the analysis that went on behind the visualization. The authors point out that there are three variables at play: the population of each state, the votes casted...

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